Exploring the role of green innovation and investment in energy for environmental quality: An empirical appraisal from provincial data of China

To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a sta...

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Published inJournal of environmental management Vol. 292; p. 112779
Main Authors Guo, Jiajia, Zhou, Yong, Ali, Shahid, Shahzad, Umer, Cui, Lianbiao
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 15.08.2021
Subjects
Online AccessGet full text
ISSN0301-4797
1095-8630
1095-8630
DOI10.1016/j.jenvman.2021.112779

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Abstract To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a stable long-run relationship between CO2 emissions and its determinants. We found that under major structural breaks at the local, regional, and global levels, such as the East Asian crises of 1997, the financial crises of 2007–2008, China's RMB exchange rate reform announced on August 11, 2015, and mild recession in 2001, CO2 emissions, income, green innovation, renewable energy use, and energy industry investment are cointegrated. The environmental Kuznets curve hypothesis is valid. In the long run, income, environmental innovation, investment in the energy industry, and renewable energy consumption are key contributors in explaining CO2 emissions. The empirical evidence from augmented mean group (AMG) is consistent with the estimates of CS-ARDL. Concerning practical implications, the findings suggest that there is a need to switch the Chinese economy to more sustainable sources of energy, a viable solution to abate environmental degradation. China should introduce and shift investments to green innovation. •We explore factors that help to achieve the carbon neutrality target of China.•The novel panel data econometric tools were used for empirical analysis.•It confirmed the existence of the EKC hypothesis for provincial data of China.•Investment in energy and technological innovation helps to reduce emissions.•Renewable energy consumption also helps to achieve zero emissions target.
AbstractList To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a stable long-run relationship between CO2 emissions and its determinants. We found that under major structural breaks at the local, regional, and global levels, such as the East Asian crises of 1997, the financial crises of 2007-2008, China's RMB exchange rate reform announced on August 11, 2015, and mild recession in 2001, CO2 emissions, income, green innovation, renewable energy use, and energy industry investment are cointegrated. The environmental Kuznets curve hypothesis is valid. In the long run, income, environmental innovation, investment in the energy industry, and renewable energy consumption are key contributors in explaining CO2 emissions. The empirical evidence from augmented mean group (AMG) is consistent with the estimates of CS-ARDL. Concerning practical implications, the findings suggest that there is a need to switch the Chinese economy to more sustainable sources of energy, a viable solution to abate environmental degradation. China should introduce and shift investments to green innovation.To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a stable long-run relationship between CO2 emissions and its determinants. We found that under major structural breaks at the local, regional, and global levels, such as the East Asian crises of 1997, the financial crises of 2007-2008, China's RMB exchange rate reform announced on August 11, 2015, and mild recession in 2001, CO2 emissions, income, green innovation, renewable energy use, and energy industry investment are cointegrated. The environmental Kuznets curve hypothesis is valid. In the long run, income, environmental innovation, investment in the energy industry, and renewable energy consumption are key contributors in explaining CO2 emissions. The empirical evidence from augmented mean group (AMG) is consistent with the estimates of CS-ARDL. Concerning practical implications, the findings suggest that there is a need to switch the Chinese economy to more sustainable sources of energy, a viable solution to abate environmental degradation. China should introduce and shift investments to green innovation.
To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a stable long-run relationship between CO₂ emissions and its determinants. We found that under major structural breaks at the local, regional, and global levels, such as the East Asian crises of 1997, the financial crises of 2007–2008, China's RMB exchange rate reform announced on August 11, 2015, and mild recession in 2001, CO₂ emissions, income, green innovation, renewable energy use, and energy industry investment are cointegrated. The environmental Kuznets curve hypothesis is valid. In the long run, income, environmental innovation, investment in the energy industry, and renewable energy consumption are key contributors in explaining CO₂ emissions. The empirical evidence from augmented mean group (AMG) is consistent with the estimates of CS-ARDL. Concerning practical implications, the findings suggest that there is a need to switch the Chinese economy to more sustainable sources of energy, a viable solution to abate environmental degradation. China should introduce and shift investments to green innovation.
To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's provincial and regional data from 1995 to 2017. Using Westerlund and Edgerton's panel cointegration test, the authors found a stable long-run relationship between CO2 emissions and its determinants. We found that under major structural breaks at the local, regional, and global levels, such as the East Asian crises of 1997, the financial crises of 2007–2008, China's RMB exchange rate reform announced on August 11, 2015, and mild recession in 2001, CO2 emissions, income, green innovation, renewable energy use, and energy industry investment are cointegrated. The environmental Kuznets curve hypothesis is valid. In the long run, income, environmental innovation, investment in the energy industry, and renewable energy consumption are key contributors in explaining CO2 emissions. The empirical evidence from augmented mean group (AMG) is consistent with the estimates of CS-ARDL. Concerning practical implications, the findings suggest that there is a need to switch the Chinese economy to more sustainable sources of energy, a viable solution to abate environmental degradation. China should introduce and shift investments to green innovation. •We explore factors that help to achieve the carbon neutrality target of China.•The novel panel data econometric tools were used for empirical analysis.•It confirmed the existence of the EKC hypothesis for provincial data of China.•Investment in energy and technological innovation helps to reduce emissions.•Renewable energy consumption also helps to achieve zero emissions target.
ArticleNumber 112779
Author Shahzad, Umer
Ali, Shahid
Zhou, Yong
Guo, Jiajia
Cui, Lianbiao
Author_xml – sequence: 1
  givenname: Jiajia
  surname: Guo
  fullname: Guo, Jiajia
  email: 8118820@qq.com
  organization: School of shipping economics and management, Dalian Maritime University, Dalian, 116026, China
– sequence: 2
  givenname: Yong
  surname: Zhou
  fullname: Zhou, Yong
  email: 2018310036@live.sufe.edu.cn
  organization: School of Marxism, Shanghai University of Finance and Economics, Shanghai, 200433, China
– sequence: 3
  givenname: Shahid
  surname: Ali
  fullname: Ali, Shahid
  email: Shahid_aerc@yahoo.com
  organization: University of Swat, Khyber Pakhtunkhwa, KP, Pakistan
– sequence: 4
  givenname: Umer
  orcidid: 0000-0002-7010-4054
  surname: Shahzad
  fullname: Shahzad, Umer
  email: shehzad-umer@hotmail.com, umer@aufe.edu.cn
  organization: Center for Environmental Economics and Policy, Anhui University of Finance and Economics, Bengbu, 233030, PR China
– sequence: 5
  givenname: Lianbiao
  orcidid: 0000-0002-8693-508X
  surname: Cui
  fullname: Cui, Lianbiao
  email: cuilb1987@126.com
  organization: Center for Environmental Economics and Policy, Anhui University of Finance and Economics, Bengbu, 233030, PR China
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ISSN 0301-4797
1095-8630
IngestDate Sat Sep 27 21:57:00 EDT 2025
Sun Sep 28 08:40:18 EDT 2025
Wed Oct 01 03:13:59 EDT 2025
Thu Apr 24 22:57:28 EDT 2025
Fri Feb 23 02:41:55 EST 2024
IsPeerReviewed true
IsScholarly true
Keywords Low carbon economy
Carbon neutrality
CO2 emissions
Energy Investments
Green innovation
Language English
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  day: 15
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Snippet To better analyze China's carbon neutrality target, this study investigates the effect of green innovation and investment in the energy industry on China's...
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StartPage 112779
SubjectTerms carbon
carbon dioxide
Carbon neutrality
China
CO2 emissions
energy
energy industry
Energy Investments
environmental degradation
environmental Kuznets curve
environmental management
environmental quality
Green innovation
income
Low carbon economy
renewable energy sources
sustainable technology
Title Exploring the role of green innovation and investment in energy for environmental quality: An empirical appraisal from provincial data of China
URI https://dx.doi.org/10.1016/j.jenvman.2021.112779
https://www.proquest.com/docview/2531228457
https://www.proquest.com/docview/2561522611
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